DevOps/ML Engineer (m/f/d)

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

If you're a DevOps or ML Engineer or just starting out in the field of machine learning and/or DevOps engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life - then we want to hear from you!

Responsibilities:

• Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.

• Implement and take ownership for your solutions on in either cloud based (AWS, Azure or GCP) and/or on-premises infrastructures of our customers.

• Automate recurring tasks by state-of-the-art DevOps and MLOps concepts, enabling your customers to significantly reduce their time-to-delivery.

• Take care of the necessary monitoring, failover, and recovery infrastructures that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements

• Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready solutions

• Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms

What we offer you:

• Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)

• Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science

• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field

• Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons

• Work in an open, flat environment, within a broad Reply knowledge-sharing network

• Award-winning office space in downtown Munich with access to “Stammstrecke”

• You choose your state-of-the-art equipment

• Public transport ticket with Deutschlandticket

• Gym-membership subsidy for a gym of your choice

• Flexible work environment between client, Reply office, and remote work

Minimum Job Requirements / Qualifications:

• Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics).

• First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks.

• Ability to convincingly communicate and present analytical results to management.

• We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage.

• Fluent in English and German.

Desired:

• Working experience in cloud technologies (AWS, Azure or GCP), Kubernetes and programming languages like Python, Java and Scala.

• Practical experience with SQL and NoSQL database technologies and data lakes

• Experience with big data technologies (Apache Spark), data streaming (Apache Kafka) and workflow orchestration (Apache Airflow, Dagster)

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Position Details

• Job Title: DevOps/ML Engineer (m/f/d)
• Company / Organisation: Machine Learning Reply
• Location: Munich
• Employment Type: Full-time
• Field / Industry: DevOps & Cloud
• Work Arrangement: On-site or hybrid — Munich

About This Opportunity

This full-time opportunity at Machine Learning Reply is an excellent opening for experienced professionals in the field of software engineering and technology. The role is structured around an on-site or hybrid environment based in Munich and is designed for candidates who are ready to make a meaningful contribution from the moment they join.

Based in Munich, this role offers the opportunity to collaborate closely with a local team in a structured professional environment. Candidates currently based in the area or open to relocation are strongly encouraged to apply.

Whether you are an established practitioner in software engineering and technology or a highly skilled professional looking for your next challenge, this DevOps/ML Engineer (m/f/d) role offers the platform to apply your expertise in a real-world, results-oriented environment. Machine Learning Reply is looking for a candidate who can hit the ground running and add genuine value to the team.

Who Should Apply

This role is ideal for candidates who have a solid background in software engineering and technology and a demonstrable track record of delivering high-quality results. You should possess analytical thinking, attention to technical detail, and a methodical approach to problem-solving. Experience working with modern development tools, version control systems, and cloud platforms will be an advantage, though a commitment to continuous learning and professional development is equally valued.

Beyond technical or domain expertise, Machine Learning Reply is looking for someone who communicates clearly, collaborates effectively with colleagues and stakeholders, and takes ownership of their work from start to finish. If you thrive in a professional environment and are passionate about the opportunity to build reliable, scalable, and high-performing digital products, we encourage you to apply.

Key Competencies for This Role

Successful candidates for the DevOps/ML Engineer (m/f/d) position at Machine Learning Reply will typically demonstrate the following core competencies:

• Domain expertise — a strong foundation of knowledge and hands-on experience in software engineering and technology
• Problem-solving ability — the capacity to identify challenges, think critically, and implement practical solutions efficiently
• Communication skills — clear and professional communication with colleagues, stakeholders, and partners at all levels
• Self-management — strong time management and the ability to prioritise a varied workload while meeting deadlines
• Team collaboration — a collaborative and supportive approach to working alongside colleagues across departments or locations
• Adaptability — the ability to respond positively to change and thrive in a dynamic, evolving work environment

How to Apply

To apply for this DevOps/ML Engineer (m/f/d) position at Machine Learning Reply, click the "Apply Now" button on this page. You will be taken directly to the official application page where you can complete and submit your application.

Before applying, please ensure that your CV or résumé is fully up to date and clearly highlights your experience and accomplishments in software engineering and technology. If a cover letter is included or requested, tailor it specifically to this role and explain how your background, skills, and goals align with what Machine Learning Reply is looking for in a DevOps/ML Engineer (m/f/d).

All applications for this role are processed directly by Machine Learning Reply. Career Nest facilitates the job discovery process and does not pre-screen or forward applications on behalf of employers. There are no fees for job seekers at any stage of the application process.

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